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X Demographics
Mendeley readers
Attention Score in Context
| Title |
uPEPperoni: An online tool for upstream open reading frame location and analysis of transcript conservation
|
|---|---|
| Published in |
BMC Bioinformatics, February 2014
|
| DOI | 10.1186/1471-2105-15-36 |
| Pubmed ID | |
| Authors |
Adam Skarshewski, Mitchell Stanton-Cook, Thomas Huber, Sumaya Al Mansoori, Ross Smith, Scott A Beatson, Joseph A Rothnagel |
| Abstract |
Several small open reading frames located within the 5' untranslated regions of mRNAs have recently been shown to be translated. In humans, about 50% of mRNAs contain at least one upstream open reading frame representing a large resource of coding potential. We propose that some upstream open reading frames encode peptides that are functional and contribute to proteome complexity in humans and other organisms. We use the term uPEPs to describe peptides encoded by upstream open reading frames. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 33% |
| Mexico | 1 | 11% |
| Sweden | 1 | 11% |
| Norway | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 2% |
| Unknown | 57 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 29% |
| Student > Bachelor | 8 | 14% |
| Researcher | 8 | 14% |
| Student > Master | 7 | 12% |
| Professor > Associate Professor | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 7 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 36% |
| Biochemistry, Genetics and Molecular Biology | 17 | 29% |
| Computer Science | 4 | 7% |
| Medicine and Dentistry | 2 | 3% |
| Immunology and Microbiology | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 9 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 June 2015.
All research outputs
#7,343,389
of 25,756,911 outputs
Outputs from BMC Bioinformatics
#2,595
of 7,741 outputs
Outputs of similar age
#80,229
of 324,685 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 94 outputs
Altmetric has tracked 25,756,911 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 7,741 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 65% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 324,685 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.